Remove unused kwargs from model definitions (#13555)

vllm/model_executor/models/roberta.py

@@ -1,13 +1,12 @@
 # SPDX-License-Identifier: Apache-2.0
 
 import itertools
-from typing import Iterable, List, Optional, Tuple
+from typing import Iterable, Optional, Tuple
 
 import torch
 from torch import nn
 from transformers import RobertaConfig
 
-from vllm.attention import AttentionMetadata
 from vllm.config import VllmConfig
 from vllm.model_executor.layers.pooler import CrossEncodingPooler
 from vllm.model_executor.layers.vocab_parallel_embedding import (
@@ -243,16 +242,12 @@ class RobertaForSequenceClassification(nn.Module, SupportsCrossEncoding):
         self,
         input_ids: Optional[torch.Tensor],
         positions: torch.Tensor,
-        kv_caches: List[torch.Tensor],
-        attn_metadata: AttentionMetadata,
         intermediate_tensors: Optional[IntermediateTensors] = None,
         inputs_embeds: Optional[torch.Tensor] = None,
         token_type_ids: Optional[torch.Tensor] = None,
     ) -> torch.Tensor:
         return self.roberta(input_ids=input_ids,
                             position_ids=positions,
-                            kv_caches=kv_caches,
                             inputs_embeds=inputs_embeds,
                             intermediate_tensors=intermediate_tensors,
-                            attn_metadata=attn_metadata,
                             token_type_ids=token_type_ids)